Gregory Cooper, MD, PhD

Taneja SB, Douglas GP, Cooper GF, Michaels MG, Druzdzel MJ, Visweswaran S. Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. BMC Medical Informatics and Decision Making, 21, 158 (2021). Available at: https://doi.org/10.1186/s12911-021-01514-w

Fattaneh Jabbari, Lisa C. Villaruz, Mike Davis, Gregory F. Cooper.  Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks. In: Michalowski M., Moskovitch R. (eds) Artificial Intelligence in Medicine. AIME 2020. Lecture Notes in Computer Science, vol 12299. Springer, Cham. https://doi.org/10.1007/978-3-030-59137-3_14.

Liu J, Ma X, Cooper G, Lu X. Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks. BMC Bioinformatics. (2020) Sep 17;21(Suppl 13):379. doi: 10.1186/s12859-020-03676-2. PMID: 32938361 PMCID: PMC7496209
Andrews B, Spirtes P, Cooper GF.  On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge.  Proceedings of Machine Learning Research JMLR:108.

King AJ, Cooper GF, Clermont G, Hochheiser H, Hauskrecht M, Sittig DF, Visweswaran S. Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study J Med Internet Res 2020;22(4):e15876 

Young JD, Andrews B, Cooper GF, Lu X. Learning Latent Causal Structures with a Redundant Input Neural Network. arXiv:2003.13135v1 29 Mar 2020.

Aronis JM, Ferraro JP, Gesteland PH, Tsui F, Ye Y, Wagner MM, Cooper GF. A Bayesian approach for detecting a disease that is not being modeled. PLOSOne. 2020 Feb 28;15(2):e0229658. doi: 10.1371
Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser.  Exploring novel graphical presentations of clinical data in a Learning Electronic Medical Record. Appl Clin Inform 2020; 11(04): 680-691. DOI: 10.1055/s-0040-1709707. PMID: 33058103
Jabbari F, Cooper GF. An instance-specific algorithm for learning the structure of causal Bayesian networks containing latent variables. In: Proceedings of the SIAM International Conference on Data Minin (2020) 433-441.
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